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- Tasks: Lead customer analytics to enhance personalisation and drive insights for CRM strategies.
- Company: Dynamic UK retail brand focused on customer experience.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on customer experience through data-driven decisions.
- Qualifications: Experience with data visualisation tools and strong communication skills.
- Other info: Join a collaborative team in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A customer-centric UK retail brand is seeking a Customer Analytics Manager. You will work within the CRO & Data team to manage customer data and drive insights for CRM strategies.
Responsibilities include developing segmentation and reporting while ensuring data accuracy.
The ideal candidate has hands-on experience with data visualisation tools like Power BI and a strong ability to communicate insights clearly to non-technical stakeholders.
This is an exciting opportunity to influence customer experience through data-driven decisions.
Customer Analytics Lead for Personalisation & Insights employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Analytics Lead for Personalisation & Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially using tools like Power BI. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising how to communicate your insights clearly. Use examples from your past work to illustrate how you've influenced customer experience through data-driven decisions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team and making an impact in customer analytics.
We think you need these skills to ace Customer Analytics Lead for Personalisation & Insights
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data visualisation tools like Power BI in your application. We want to see how you've used these tools to drive insights and influence decisions in your previous roles.
Communicate Clearly: Since you'll be sharing insights with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex data in a simple way. Use examples in your application that showcase this skill.
Be Customer-Centric: Remember, we're all about the customer! Tailor your application to reflect your understanding of customer needs and how data can enhance their experience. Show us your passion for customer-centric strategies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your experience with data visualisation tools like Power BI. Be ready to discuss specific projects where you've used these tools to derive insights and how they impacted customer strategies.
✨Understand Customer-Centric Strategies
Familiarise yourself with the company's approach to customer experience. Think about how your analytics work can enhance CRM strategies and be prepared to share examples of how you've done this in the past.
✨Communicate Clearly
Since you'll need to convey insights to non-technical stakeholders, practice explaining complex data concepts in simple terms. Use relatable examples to demonstrate your ability to bridge the gap between data and actionable insights.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to customer data and segmentation. Prepare by thinking through how you would approach these scenarios, focusing on data accuracy and actionable outcomes.